Can I read Sentiment Analysis for PTSD Signals (SpringerBriefs in Computer Science) on EtoBox?

Sentiment Analysis for PTSD Signals (SpringerBriefs in Computer Science) by Vadim Kagan, Edward Rossini, Demetrios Sapounas (auth.) is a nonfiction available to read on EtoBox.

What is Sentiment Analysis for PTSD Signals (SpringerBriefs in Computer Science) about?

This book describes a computational framework for real-time detection of psychological signals related to Post-Traumatic Stress Disorder (PTSD) in online text-based posts, including blogs and web forums. Further, it explores how emerging computational techniques such as sentiment mining can be used in real-time to identify posts that contain PTSD-related signals, flag those posts, and bring them to the attention of psychologists, thus providing an automated flag and referral capability. The use of sentiment extraction technologies allows automatic in-depth analysis of opinions and emotions expressed by individuals in their online posts. By training these automated systems with input from academic and clinical experts, the systems can be refined so that the accuracy of their detection of possible PTSD signals is comparable to that of psychologists reading the same online posts. While a portion of the literature on this and related topics explores the correlation between text patterns in archived documents and PTSD, no literature to date describes a system performing real-time analysis. Our system allows analysts to quickly identify, review, and validate online posts which have been

Who reads Sentiment Analysis for PTSD Signals (SpringerBriefs in Computer Science)?

Author

Vadim Kagan, Edward Rossini, Demetrios Sapounas (auth.)

Publisher

Springer New York

Published

2013

Language

EN

ISBN

9781461430971

Category

nonfiction

Subjects

Science, Engineering, Reference